Mastering Structural Equation Modeling with Amos: From Fundamentals to Advanced Techniques
G N Satish Kumar
16 modules
English
Lifetime access
Unveiling the Power of Structural Equation Modeling with SPSS Amos
Overview
This online course provides a comprehensive learning experience in Structural Equation Modeling (SEM) using SPSS Amos. Designed for beginners and individuals with prior SEM knowledge, this course covers a wide range of topics from the basics to advanced techniques.
Topics covered include:
The course is taught by experienced SEM researchers and practitioners who will provide you with the knowledge and skills you need to master SEM using Amos.
Enroll today and start learning SEM!
Additional benefits:
By the end of the course, participants will have a strong command of SEM principles and the ability to apply advanced techniques in SPSS Amos, allowing them to confidently analyze data and draw meaningful conclusions.
So, Equip yourself with the expertise to harness the power of Structural Equation Modeling and SPSS Amos, and gain the confidence to unlock valuable insights from your data with this comprehensive online course.
Key Highlights
Learn the fundamentals of Structural Equation Modeling (SEM)
Discover how to use AMOS software to perform SEM analysis
Understand advanced techniques for model estimation, modification and interpretation
Explore measurement models and latent variable modeling
Gain practical experience through hands-on exercises and real-world examples
What you will learn
Understanding the fundamentals of Structural Equation Modeling (SEM)
Learn the basic concepts, principles, and components of SEM.
Exploring the features and functionality of Amos software
Become familiar with the Amos software and its capabilities in conducting SEM analysis.
Preparing data for SEM analysis
Learn how to clean, organize, and prepare data for effective SEM analysis in Amos.
Defining the theoretical framework and model specification
Understand how to develop a theoretical framework and specify a comprehensive SEM model.
Performing confirmatory factor analysis (CFA)
Learn how to conduct CFA to validate measurement models in SEM using Amos.
Analyzing structural relationships in SEM
Explore advanced techniques for analyzing structural relationships among variables in SEM using Amos.
Testing model fit and evaluating model validity
Learn how to assess model fit and validity using various statistical techniques within Amos.
Interpreting and reporting SEM results
Gain insights into interpreting and effectively communicating SEM results for research publications or professional reports.
Modules
1. Introduction to Structural Equation Modeling and AMOS
1 attachment • 7.89 mins
Part 1. Introduction to Structural Equation Modeling and SPSS Amos
2. Understanding the graphical Interface of Amos
3 attachments • 11.02 mins
Part 2. Understanding graphical interface of Amos
Ex1
Sales
3. Structural Equation Modelling using Amos Software - Covariance & Estimation calculations
3 attachments • 36.18 mins
Part 3. Structural Equation Modelling using Amos Software - Covariance & Estimation calculations:
Sales
Ex1
4. Structural Equation Model Identification
3 attachments • 12.67 mins
Part 4. Structural Equation Model Identification:
Ex1
Sales
5. Confirmatory Factor Analysis
3 attachments • 16.74 mins
Part 5. Confirmatory Factor Analysis:
CFA
TAM Data Set
6. Measurement of the goodness of model fit
3 attachments • 8.82 mins
Part 6. Measurement of the goodness of model fit:
TAM
TAM Data Set
7. Modification Indices
3 attachments • 15.7 mins
Part 7. Modification Indices
TAM
TAM Data Set
8. Second-Order CFA Models
3 attachments • 16.97 mins
Part 8. Second-Order CFA Models
Second Order Factor Analysis
Service Quality Data Set
9. Reliability and Validity test
8 attachments • 32.83 mins
Part 9. Reliability and Validity test
Composite Reliability Calculation
Validity Calculation
Common Method Bias
Second Order Factor Analysis
Reliability test CFA
Validity test CFA
Customer Satisfaction
10. Multi-group Analysis - Critical Ratio for difference between groups
3 attachments • 18.88 mins
Part 10. Multi-group Analysis - Critical Ratio for difference between groups:
Multiple Group Analysis
TAM Data Set
11. Multiple Model Analysis
3 attachments • 10.28 mins
Part 11. Multiple Model Analysis:
TAM Data Set
Multiple Model Analysis
12. Mediation Analysis
3 attachments • 30.77 mins
Part 12. Mediation Analysis:
Mediation Analysis
Organizational Support Data Set
13. Moderation Analysis
3 attachments • 9.35 mins
Part 13. Moderation Analysis:
Mediation Analysis
Moderation Data Set
14. Mediated Moderation Analysis
3 attachments • 17.99 mins
Part 14. Mediated Moderation Analysis:
Moderated Mediation model
Moderated Mediation Data Set
15. Serial Mediation Analysis
3 attachments • 12.79 mins
Part 15. Serial Mediation Analysis:
Serial Mediation Analysis
Serial Mediation Data Set
16. Mediation Moderation Analysis
3 attachments
Mediated Moderation Model
Mediated Moderation Data Set
Specific Indirect effect
About the creator
G N Satish Kumar
G.N. Satish Kumar is a highly accomplished academician and a skilled statistical data analyst with an impressive career spanning two decades. With an unwavering passion for education and data analysis, Satish Kumar has made significant contributions to the field, garnering a reputation as an expert in his domain. With a solid foundation in academia, Satish Kumar has dedicated the past 20 years to imparting knowledge and shaping the minds of aspiring students.
Rate this Course
₹ 2000.00
Order ID:
This course is in your library
What are you waiting for? It’s time to start learning!
Wait up!
We see you’re already enrolled in this course till Lifetime. Do you still wish to enroll again?